How to Use ClickUp AI as a UI Design Suggester

The ClickUp AI Agents workspace for the UI Design Suggester template helps you quickly generate, refine, and organize user interface ideas inside ClickUp. This guide walks you through using that workspace so you can turn product requirements into clear, structured design suggestions.

This how-to focuses on the premade AI Agent workspace provided on the ClickUp AI Agents page for the User Interface Design Suggester, and explains how to adapt it to your own product or project.

Overview of the ClickUp AI UI Design Suggester

The premade workspace is built around one main Agent that analyzes your product details and target users, then proposes usable UI patterns. It comes with a clear system prompt, fixed fields, and flexible fields you can change per request.

When you open the template from the AI Agents gallery, you will see the agent configuration screen. The content on the template page explains exactly what the agent does and what kind of instructions it expects from you.

Use the agent as a starting point for design explorations.
Provide structured inputs so the agent can respond with consistent UI suggestions.
Iterate on its suggestions by updating your inputs and re-running the agent.

Key Parts of the ClickUp UI Design Suggester Agent

The template details a clear structure for the agent configuration. Understanding each part helps you get predictable, high‑quality results.

Agent role and purpose in ClickUp

The agent is positioned as a specialized design assistant that:

Analyzes product goals and user needs.
Suggests UI layouts, navigation, and interaction patterns.
Aligns proposals with your brand tone and constraints.

In the AI Agents configuration, this is captured as the agent description and system prompt, both of which you can review and customize inside ClickUp.

System instructions the agent follows

The source template page defines a detailed system prompt. Inside the agent configuration, this prompt tells the AI how to behave, what to prioritize, and what kind of UI proposals to produce. It typically covers:

Overall goal: generate coherent and practical UI ideas.
Scope: focus on user flows, screens, and interaction patterns.
Output format: usually structured bullets, sections, or steps.

Keep this system text focused and task‑specific. Any additions you make in ClickUp should clarify your expectations without overloading the prompt.

Understanding Fields in the ClickUp UI Agent Template

The template page explains that the agent uses different input fields. Some are fixed and rarely change. Others are meant to be updated for each request you send.

Fixed fields in the UI Suggester agent

Fixed fields hold context that stays mostly the same:

Product overview: a short description of your app or site.
Design principles: accessibility, clarity, hierarchy, and similar guidelines.
Brand and voice: how the interface should feel to users.

In ClickUp, store this information in the persistent context or agent description so you do not have to rewrite it every time you ask for UI suggestions.

Flexible fields for each UI design request

Flexible fields are designed to change every time you run the agent. According to the template description, these typically include:

Target user or persona for the specific flow.
Primary user goal or task to complete.
Platform and device (web, mobile, tablet, or multi‑platform).
Known constraints such as tech stack limits or compliance needs.

When you configure your ClickUp agent, make sure each flexible field is clearly labeled, so teammates can quickly plug in the right details before running the AI.

Step-by-Step: Using the ClickUp UI Design Suggester

Use this sequence to work with the AI Agent workspace shown on the User Interface Design Suggester page.

1. Open the ClickUp AI Agent template

Visit the official template at ClickUp AI Agents: User Interface Design Suggester.
From there, add the agent workspace to your ClickUp environment using the on‑page controls.
Once imported, open the agent configuration panel to review the default settings.

2. Review the system prompt and agent description

Read through the system prompt included with the template.
Ensure the design focus, product type, and tone match your organization.
Adjust wording as needed, but keep the instructions concise and specific.

The goal is to keep the behavior aligned with the template’s intention while tailoring it to your product domain.

3. Customize fixed fields for your product

Fill in or edit the product overview with a short, stable description.
Document your core design principles (for example, responsive design, inclusive language, or mobile‑first layouts).
Add any recurring constraints, such as design system requirements or grid frameworks.

These fixed fields should reflect information that rarely changes between requests, so ClickUp can reuse them for every UI suggestion.

4. Prepare flexible inputs for each design task

Before running the agent, define the specific flow you want help with, such as onboarding, checkout, or dashboard analytics.
Enter the target user and main goal using the flexible fields described on the template page.
Specify the platform and any unique constraints (tight deadlines, limited development resources, or legacy UI rules).

Providing complete context in these flexible fields gives the ClickUp agent enough detail to return tailored UI options.

5. Run the agent and review suggested UI designs

Trigger the agent using the interface controls in your ClickUp AI workspace.
Wait for the structured response, which typically includes layouts, navigation proposals, and interaction notes.
Scan the output for alignment with your goals and product constraints.

If the result is off target, refine your flexible fields or adjust the system prompt slightly, then re‑run the agent.

Refining Output from the ClickUp UI Design Suggester

The agent template is meant to be a starting point. You can continually improve results by iterating on how you use it inside ClickUp.

Clarify flows and states

When the AI output feels too generic, your request may not specify enough user states. Update your flexible inputs to describe:

Entry points to the flow (landing page, notification, deep link).
Possible errors or edge cases.
Success metrics or what a “good” experience means for this flow.

Then run the agent again to generate more precise UI suggestions.

Ask for alternative patterns

If you want more options before committing to a direction, adjust your request to tell the agent to propose several distinct patterns, such as:

Variant A: a minimal layout.
Variant B: a content‑rich layout.
Variant C: a highly guided, step‑by‑step flow.

Storing these variants as separate tasks or comments inside ClickUp makes it easier to compare and share with your team.

Collaborating on UI Ideas Inside ClickUp

Once the agent returns suggested UI designs, you can use standard workspace features to turn them into actionable tasks.

Create tasks for each screen or component the agent proposes.
Attach mockups or prototypes from your design tools.
Use comments to gather feedback from product managers and developers.

Because the UI Design Suggester is embedded into your workspace, you can keep AI‑generated ideas, team feedback, and implementation tasks all in one place.

Next Steps

To explore additional automation strategies beyond this specific ClickUp agent, you can learn more about AI workflows and consulting at Consultevo. Combine these practices with the User Interface Design Suggester template to build a scalable process for UX discovery and design ideation.

By following the structure laid out on the official template page and configuring the agent carefully inside ClickUp, your team can move from rough requirements to well‑organized UI design concepts with far less manual effort.

Need Help With ClickUp?

If you want expert help building, automating, or scaling your ClickUp workspace, work with ConsultEvo — trusted ClickUp Solution Partners.

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